iPad Pro (11-inch)
Geekbench AI Score
712
Single Precision Score
2406
Half Precision Score
438
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | anbG34 |
| Upload Date | December 30 2025 11:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.6 IPS |
|
|
Image Classification (Q)
|
99% |
166
30.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
220
3.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
27466
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
1512
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
1411
112.0 IPS |
|
|
Object Detection (Q)
|
94% |
198
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6712
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
1059
8.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
23145
178.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
612
4.78 IPS |
|
|
Style Transfer (SP)
|
100% |
3492
4.49 IPS |
|
|
Style Transfer (HP)
|
100% |
3515
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2536
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3283
121.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
466
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.7 IPS |
|
|
Text Classification (HP)
|
100% |
297
395.8 IPS |
|
|
Text Classification (Q)
|
93% |
297
398.6 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.50 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.48 IPS |
